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NVIDIANVIDIAOfficial·5 Agent Skills Included

GenerativeAIExamples

Build RAG pipelines, AI agents, and reservoir simulation workflows with NVIDIA

Builds production-ready RAG pipelines, agentic workflows, and fine-tuning loops using NVIDIA NIM and NeMo microservices. Includes ready-to-run skills for parsing, modifying, running, and plotting reservoir simulation files with natural language. Removes manual error debugging by auto-fixing failed simulation runs and retrieving documentation through semantic search.
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npx skills add NVIDIA/GenerativeAIExamples --all -g -y

All Skills in This Repository (5)

Pure Emerald Level Indicators
📦 In Repo
NVIDIANVIDIA

simulation_skill

Run and monitor OPM Flow reservoir simulations with lifecycle control.

Official
Advanced
📦 In Repo
NVIDIANVIDIA

input_file_skill

Parse and patch OPM Flow DATA keyword blocks with natural language instructions.

Official
Advanced
📦 In Repo
NVIDIANVIDIA

rag_skill

Retrieve simulator manual definitions and DATA examples via Milvus and NVIDIA embeddings.

Official
Advanced
📦 In Repo
NVIDIANVIDIA

results_skill

Extract key results from OPM/Eclipse simulation outputs.

Official
Advanced
📦 In Repo
NVIDIANVIDIA

plot_skill

Plot and compare OPM Flow summary metrics from .SMSPEC/.PRT data using Matplotlib.

Official
Advanced

Frequently Asked Questions

FAQPage Schema
How to install GenerativeAIExamples?▼

Run `npx skills add NVIDIA/GenerativeAIExamples --all -g -y` in your terminal to install all skills in this suite globally.

What can I build with NVIDIA Generative AI Examples?▼

You can build RAG pipelines, agentic workflows, fine-tuned models, and vision applications using NVIDIA NIM and NeMo microservices with LangChain or LlamaIndex.

How does the reservoir simulation agent work?▼

It lets you parse, modify, run, and plot OPM Flow simulation files using plain English, and it automatically fixes and re-runs failed simulations.

Do I need an NVIDIA API key to use these examples?▼

Yes. Most examples require a free NVIDIA API key from build.nvidia.com, though some workflows can run fully on-premises with local NIM deployments.

Can non-developers use these AI agent skills?▼

The skills accept natural language instructions, but you need basic Python and Docker knowledge to set up the underlying environments first.

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